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#federated-learning — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #federated-learning, aggregated by home.social.

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  1. Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

    Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

  2. The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
    #Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

  3. New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
    The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
    Full research brief with timeline, energy comparisons & priorities:
    flextalks.org/ai-almost-daily
    #AI #Sustainability #FederatedLearning #DigitalRights

  4. 🧬 Can quantum intelligence unlock new ways to understand genetic mutations?

    🔗 Quantum neural networks meet federated learning for DNA mutation prediction. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.09

    📚 CSBJ Quantum Biology & Biophotonics: csbj.org/qbio

    #Genomics #QuantumBiology #DNA #QuantumComputing #BiomedicalAI #FederatedLearning #PrecisionMedicine #ArtificialIntelligence #QNN

  5. Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP stellt ein Framework vor, das föderierte Lernsysteme mit Hilfe des Model Context Protocol (MCP) erweitert. MCP dient hier als standardisierte Schnittstelle, um unterschiedliche Datenquellen und Analyse-Tools interoperabel einzubinden.
    arxiv.org/abs/2510.01780
    #FederatedLearning #MCP #DigitalHealth

  6. Unlock the future of secure software development with Federated Learning. Discover how decentralized data science and privacy-preserving machine learning are transforming AI in software development, across healthcare, finance, and beyond.

    Read the full blog to see how your business can innovate securely: inapp.com/blog/federated-learn

    #InApp #FederatedLearning #DataScience #AI

  7. Discover IPFed, privacy-preserving federated learning technique that achieves high authentication accuracy while protecting user data. hackernoon.com/ipfed-a-privacy #federatedlearning

  8. Discover how IPFed protects personal data while maintaining the highest level of accuracy for user authentication. hackernoon.com/struggling-with #federatedlearning

  9. 📢 Just published our new work on federated random forests for privacy-preserving machine learning!
    📄 “A Federated Random Forest Solution for Secure Distributed Machine Learning”
    📌 IEEE: doi.org/10.1109/CBMS65348.2025

    📂 Supplementary slides:
    🔗 doi.org/10.5281/zenodo.16539345

    We're advancing secure AI without sharing data. Feedback & collaborations welcome! 🚀
    #FederatedLearning #PrivacyPreservingAI #MachineLearning #OpenScience #IEEE #DataScience #Zenodo #ResearchSoftware #Reproducibility

  10. The Roman Colosseum hosted actual naval battles! Beyond the gladiatorial contests, discover the astonishing engineering that allowed for these aquatic spectacles, and how every seat in this architectural wonder reflected Rome's rigid social hierarchy. It's more than just ruins – it's a testament to ancient genius.

    Read the full story:
    utubepublisher.in/2025/06/roma

    #RomanEmpire #ColosseumHistory #AncientEngineering #SocialStructures #HistoryBuff #Archaeology #FederatedLearning

  11. Post 6: The Distributed Alternative
    💡 Plot twist: What if we didn't need mega-datacenters?
    Distributed AI projects proving viable:
    ✅ Hivemind, Flower, OpenFL enable collaborative training
    ✅ Federated learning across 71 medical sites on 6 continents
    ✅ Privacy preserved, data stays local
    ✅ Uses idle computing resources + local renewable energy
    Why centralize when you can federate?
    #DistributedAI #FederatedLearning #Decentralization

  12. #FederatedLearning #FL, a decentralised #MachineLearning approach, enables banks to gain insights into customer behaviour without centralising sensitive data. This technology, while challenging to implement, offers personalised services, improved fraud detection, and accurate risk assessment.

    While this is good for banks, it also opens interesting perspectives also in #InternationalCooperations handling of data! ... blog.locational.network/2025/0

  13. This article does a great job highlighting why DOGE is taking over the federal government so easily: federal systems centralize massive amounts of sensitive data, making them highly vulnerable to insider threats. The article concludes by pointing out that techniques like #FederatedLearning and #DifferentialPrivacy could help build more resilient systems 👏 #Privacy #CyberSecurity

    nytimes.com/2025/02/21/opinion

  14. Time for a proper #introduction! 👋 I'm a #MachineLearning researcher at Inria, France, focusing on #TrustworthyAI—especially #decentralization & #privacy. I design algorithms that learn from #decentralized data (#FederatedLearning) without memorizing personal data (#DifferentialPrivacy), working toward putting #data & #AI back in people's hands. Maybe one day, these ideas could be used in the #Fediverse!

  15. "Approximate and Weighted Data Reconstruction Attack in Federated Learning" co-authored by #MSCA researcher Ziqi Wang
    ➡️ demonstrates that private data can be reconstructed from shared information in federated learning
    ➡️ emphasizing the urgent need for stronger defense mechanisms to protect user privacy.

    #federatedLearning
    #gradientInversion

    #MachineLearning
    #ArtificialIntelligence

    arxiv.org/abs/2308.06822

  16. #fediHistory #fediDocu

    > HIS story of #satireSpotlights

    What do you mean @erio7,
    the #realSatirePur moments in @jesuisatire's #fediLife?

    Like, HIS responsibility for the first urgent over night role out of a blocking feature (seriously!) in the #fediVerse, because HE tried to have fun with a troll who didn't had enough #selbstIronie in his ego, nor respect for the decentralized system or the community, showing of in the worst irresponsible manner possible?
    😟

    Or the #meanwhile incident, when "diaspora.com.ar … on it’s quest for the #holyTroll meet jesuiSatire .. ᘛ⁐̤ᕐᐷ" and called for the first time in #theFederatedHistory for a instance wide blocking of a distant user profile, wondering how to implement that in the code, telling HIM to quote: "¡stop being ironic!", with the admin writing an extense howTo defend yourself from a troll opEd, while HE already was trying to snip away users by writing takes like:
    #federatedlearning, #hola #Argentina @Elcammarota
    "About how to interpret a profile in the internet and why it can be useful to give #whiteHatTroll's ( as described by @linuzifer ) a chance."
    ¿ 😞 ?

    HIS april fools censorship! prank conversation that hit the cord?
    🤦‍♂️

    Or the moment HE upset @lizzischmidt with HIS #opEd in Englisch promoting her German #sundayGimp movement by stating "they even are arrogant enough to invent new hashtags" and she took it serious?
    That post nearly ended a friendship and the whole community had to come to the rescue to translate and state the obvious.
    Like to say:
    "Even @deusfigendi kann das bezeugen".
    😮

    We wonder if you are aware that you are talking about THE ONE who wrote the first draft of the #TSGDC more than 13 years ago, a take that actually could need some refurbishment, spellcheck and renaming to #TSGFC (The Sporial Guide to the Fediverse Cyberspace).
    🤔

    Well, actually we think HE is best when HE shows of with HIS 144 character bilingual or trilingual tweete takes like:
    "German for #newBees leasons, because they have a word for everything."
    (Ok, that one was really what he is all about, kinda selbstentlarvend. In other words, for a member of the #MUH a little bit to dangerous perhaps)
    😇

    Anyway, please don't make us remember old wounds, scares and stripes, we came a long way already ..
    .. and be assured, @requeteChe was right when he stated from the get go:

    ʕ•ﻌ•ʔ jeSuisatire, sounds like a typical bastard!


    @_elena @satire

  17. Federated Learning: A world where your data is safe yet insightful! 🤖✨ Discover how this AI revolution boosts privacy & accuracy in various industries. Follow for more! 🌍🔒 #FederatedLearning #DataPrivacy t.co/KyJeLQk5bf medium.com/@falitroke/unlockin

  18. Flower: A Friendly Federated Learning Framework 🌸

    Unified federated learning, analytics, and evaluation. Federate any workload, ML framework, and programming language.

    flower.ai/

    #FederatedLearning #MachineLearning #DataScience #AI #Analytics #Evaluation #TechInnovation #FlowerFramework

  19. #FL #FederatedLearning #Data #Ethics "Although FL removes the option of stealing the data from a central database, it does not give any formal guarantees against re-identification. Numerous studies have shown that it is possible to reverse engineer privacy-sensitive data from the model information that is shared in FL. Thus, the term ‘privacy-preserving’ is not entirely appropriate for FL." #privacy #federatedlearning #AIEthics #LLM nature.com/articles/s42256-024

  20. Herzlichen Glückwunsch!👏 Für seine Arbeit im Bereich #DigitalHealth hat Bjarne Pfitzner auf der Fachkonferenz #AIMHC in der Nähe von Los Angeles den Best Student Paper Award erhalten. Bjarne ist Doktorand am Fachgebiet "DigitalHealth – Connected Healthcare" am HPI.

    In seinem Paper, das in Kollaboration mit Partnern an der @ChariteBerlin entstanden ist, beschäftigt er sich mit #FederatedLearning in der #Medizin.

    💡 Was er genau erforscht hat, erfahrt ihr unter: hpi.de/news/jahrgaenge/2024/be

  21. Project announcement 🏗️: "PROSurvival" builds a collaborative federated learning framework to predict survival in prostate cancer patients.

    Partners are OFFIS - Institute for Information Technology, Charité, Goethe University Frankfurt, and Fraunhofer MEVIS.

    Here's the gist: In the long run, we want to find predictive image features that can be identified in tissue sections from routine diagnostics.

    #federatedlearning #ai #foundationmodels #ComputationalPathology

    1/3

  22. Freuen Sie sich: Dr. Daniel Gille von der @Cyberagentur auf dem Online-Symposium „Federated Learning & ML Security“ am 27.03.24! Sein Thema "Machine Learning & IT-Security – Forschungsbedarfe für die Innere und Äußere Sicherheit".
    Spannende Diskussion beim #MANTRASymposium: Wie können wir die #ITSicherheit von #FederatedLearning verbessern?
    Anmelden: #FLMLSec2024: t1p.de/bipwu
    Mehr: t1p.de/rit9d
    #Lösungsansätze #KI #ML #Cybersicherheit #KI #ML #ITSicherheit #DataScience